MIT 14.02 Principles of Macroeconomics, Spring 2023
Instructor: Ricardo J. Caballero

View the complete course: https://ocw.mit.edu/courses/14....-02-principles-of-ma
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This lecture covers an introduction to the topic of macroeconomics, which is the study of the behavior of an economy as a whole. The instructor also talks about the objectives of the course.

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*Note: 1+ Years of Experience Recommended to Sign up for Below Programs ⬇️
🔥 Purdue Post Graduate Program In Digital Marketing: https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=2October2023SocialMediaMarketingCrashCourse2023&utm_medium=Descriptionff&utm_source=youtube
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Today with this social media marketing crash course, we will take deep dive into marketing strategies for various social media platforms like facebook, youtube, pinterest, and instagram.

00:00 Social Media Marketing Course 2023
What is Social media marketing
Social Media Marketing Strategy
Facebook Ads Tutorial
How to increase Followers on Instagram
Instagram Ads Tutorial
Instagram Marketing Strategies and tips
How to create a Youtube Channel
YouTube Marketing Tutorial
Youtube SEO
Youtube Ads
Pinterest Marketing Tutorial
Social media marketing Tips & Tricks
Social Media Marketing Interview Questions And Answers

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⏩ Check out the Digital Marketing training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#socialMediaMarketingCrashCourse #SocialMediaMarketing #SocialMediaCourse #TypesOfDigitalMarketing #SocialMediaMarketingFullCourse #SMM #DigitalMarketingTutorial #2024 #DigitalMarketing #Simplilearn

✅ About Post Graduate Program in Digital Marketing Program:

This digital marketing course is meant for professionals looking to pursue a Digital Marketing career, know the fundamentals, and gain hands-on experience, as well as experienced marketers keen on learning the latest Digital Marketing skills. The Harvard Business case studies and projects on Google and Facebook add real-world experience.

✅ Key Features:
- Purdue-Simplilearn Joint Post Graduate Program Certification
- Purdue Alumni Membership and Masterclasses
- Masterclasses from top Purdue instructors
- 200+ hours of applied learning
- Experiential learning through case studies and theme-based project work
- Get noticed by the top hiring companies
- Learn 35+ Digital Marketing tools

✅ Skills Covered

- Search Engine Optimization
- Content Marketing
- Web Analytics
- Keyword Management and Research
- Website Management and Optimization
- URL Management
- Search Psychology
- Keyword Organization and Match Types
- Keyword Research
- Advanced Ad Features
- Ad Testing and ExtensionsLanguage Targeting
- And Many More

👉 Learn more at: https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=2October2023SocialMediaMarketingCrashCourse2023&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=2October2023SocialMediaMarketingCrashCourse2023&utm_medium=Description&utm_source=youtube

الإيروجل مادة لديها ميزات خلابة ولكنه صعب التعامل بها. نبحث بهذا الفيديو عن تطور مادة الإيروجل واستخدام ميزاتها العديدة. اشتركوا في قناة فريتاسيوم بالعربي
https://bit.ly/Subscribe_to_Veritasium_Arabic
للحصول على حلقات جديدة كل أسبوع

شكر خاص للدكتور ستيفن ستاينر وطاقم العمل في ايروجيل للتكنولوجيا. للمزيد من المعلومات أو لشراء مادة الإيروجل:
http://www.aerogeltechnologies.com/

شكر للدكتور ستيفن جونز والدكتور ميهايل بيتكوف من مختبر ناسا للدفع النفاث.

وشكرا لـ "فلير" لإعارتنا هذه الكاميرا الحرارية عالية الدقة. كانت نتيجة التصوير مذهلة!
https://www.flir.com

ميزات مادة الإيروجل الاستثنائية هي بشكل كبير نتيجة لهيكلية المادة. بالرغم من أن مادة الإيروجل تعتبر صلبة هي اسفنجية على مستوى لمقياس النانو، والمسامات الهيكلية الاسفنجية على صغر 20 نانو متر تقريبا. هذا الذي يجعل سيليكا الإيروجل خفيف جدا وشفاف ومادة ماصة أيضا (اعتبرت سابقا أخف صلب في العالم لكن حل محلها الآن مادة الجرافين ايروجيل).

حبة إيروجل بحجم مكعب ثلج لديها مساحة سطحية داخلية تقارب نصف ملعب كرة قدم. تستخدم مادة الأيروجيل في المتاحف لتنظيم مستوى الرطوبة. إضافةً تساعد في الحفاظ على الهواء داخل مقياس الزلازل المستخدم على كوكب المريخ - تمتص الرطوبة والغازات المتصاعدة الأخرى التي تخرج من المكوك الفضائي. مقترحات اخرى لاستخدامها تتضمن استعمالها كمبيد جسدي للحشرات لتجفيف الحشرة كبديل للمبيدات الكيميائية والسامة.

التصوير من بول جراماجليا.
صورة الفيديو من إجنات بيربيسي.
الرسوم المتحركة من كاثرين شولجيان

الموسيقى من
https://epidemicsound.com

هذا فيديو تعليمي

الفيديو الأصلي باللغة الإنجليزي:
https://www.youtube.com/watch?v=GcdB5bFwio4
اسم الفيديو الأصلي باللغة الإنجليزية:
I Waterproofed Myself With Aerogel!
@veritasium

إدارة القناة:
http://www.getunilingo.com
ستوديو الدبلجة
Racti Art Production
مدير القناة: وسام الشيخ حسن
[email protected]

Generative AI vs AI Agents vs Agentic AI Explained | Complete Beginner's Guide (2026)

Instagram: https://www.instagram.com/_azim_yt/
Live Channel: https://youtube.com/@ezLiveOfficial?si=TzAev-u
Twitter: https://x.com/ezSnippet

CREDIT: @ezExplains

Original Video Link: https://youtu.be/DLR0SN2sB4Q?si=8TODgGelnle8wSQi

👉About This Video:
This video has been independently edited, redesigned, and transformed. It contains original commentary, analysis, and educational insights added for the purpose of learning and understanding.
The intention of this content is to educate, inspire, and provide valuable knowledge.



📢 Fair Use Disclaimer:
This video is created under Section 107 of the Copyright Act 1976, which permits fair use for purposes such as criticism, comment, teaching, research, and education.
The content has been transformed, repurposed, and presented with new perspective and value.

Tags:-
#neerajwalia #ai #generativeai #aiagents #agenticai #chatgpt #artificialintelligence #aitutorial #tech #machinelearning #aiexplained

Bể cá cảnh | Đắm chìm với vẻ đẹp của thiên nhiên tại dòng suối bí ẩn

THỦY SINH NHA TRANG - THUỶ SINH MANG TÀI LỘC ĐẾN NHÀ BẠN

Thủy Sinh Nha Trang cung cấp sỉ lẻ các loại sản phẩm thủy sinh như cây thủy sinh, hồ thủy sinh, tôm cảnh, cá cảnh, tép cảnh, ốc cảnh, hồ cá thủy sinh, bể cá, phụ kiện thủy sinh, đèn thủy sinh và các thiết bị khác với giá hấp dẫn tại khu vực miền Trung. Chúng tôi chuyên về Thiết kế cảnh quan, Trang trí nội thất, Tiểu cảnh.

Phone: (+84) 0777-525-328
Facebook: https://facebook.com/thuysinhnhatrang
Website: https://thuysinhnhatrang.com
YouTube: https://youtube.com/@ThuySinhNhaTrang
Address: 566/23 đường 2 Tháng 4, Vĩnh Phước, Nha Trang, Khánh Hòa, Việt Nam (hẻm đối diện Đặng Tất)

#bethuysinhdep, #thuysinh, #howtobuildaquarium, #hothuysinh , #studymusic, #relaxmusic, #calmingmusic , #bethuysinhmini,
#aquariums #relaxmusic #nhacremix #bethuysinhdep #thuysinhthungxop #thuysinhnhatrang #nhacthugian #nhatrang #vedepthiennhien

Gemini Man (2019) - Epic Sniper Scene 4K
Gemini Man - Epic Sniper: Henry (Will Smith) pulls off a one-in-a-million shot.

CREDITS:
TM & © Paramount (2019)
Cast: Will Smith
Director: Ang Lee
Screenwriter: Billy Ray, Darren Lemke, David Benioff

Extracting texts of various sizes, shapes and orientations from images containing multiple objects is an important problem in many contexts, especially, in connection to e-commerce, augmented reality assistance system in a natural scene, content moderation in social media platform, etc. The text from the image can be a richer and more accurate source of data than human inputs which can be used in several applications like Attribute Extraction, Offensive Text Classification, Product Matching, Compliance use cases, etc. Extracting text is achieved in 2 stages. Text detection: The detector detects the character locations in an image and then combines all characters close to each other to form a word based on an affinity score which is also predicted by the network. Since the model is at a character level, it can detect in any orientation. Post this, the text is then sent through the Recognizer module. Text Recognition: Detected text regions are sent to the CRNN-CTC network to obtain the final text. CNN’s are incorporated to obtain image features that are then passed to the LSTM network as shown in the below figure. Connectionist Temporal Classification(CTC) decoder operation is then applied to the LSTM outputs for all the time steps to finally obtain the raw text from the image.

Key Takeaways:

1. Understanding the need for text extraction from Product Images.
2. Deep Learning Techniques for detecting highly oriented text.
3. End to End understanding of CRNN-CTC network for text recognition with TF 2.0
4. Need for CTC loss and theoretical understanding of the same.
5. Usage of Text Extraction in various fields/domains.

About:
Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unifie...
Connect with us:
Website: https://databricks.com
Facebook: https://www.facebook.com/databricksinc
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner

🔥Edureka AWS Architect Certification Training: https://www.edureka.co/aws-certification-training
This video is about the features and benefits of AWS Kinesis. It shows how AWS Kinesis can be effectively used for processing the streaming data. The topics that we will cover in this session are as follows:
· What is AWS Kinesis?
· Advantages
· Capabilities
· Use Cases
· Kinesis vs SQS
· How it works?
· Demo

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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Edureka Community: https://bit.ly/EdurekaCommunity
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Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN

#edureka #EdurekaAWS #AWSKinesis #awstraining #cloudcomputing
----------------------------------------------------------------------------
How does it work?
1. This is a 5 Week Instructor-led Online Course.
2. The course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training, you will have to complete the project based on which we will provide you a Verifiable Certificate!
----------------------------------------------------------------------------
About the Course

AWS Architect Certification Training from Edureka is designed to provide in-depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.

During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling, and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services: EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
----------------------------------------------------------------------------
Course Objectives

On completion of the AWS Architect Certification Training, the learner will be able to:
1. Design and deploy scalable, highly available, and fault-tolerant systems on AWS
2. Understand the lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
----------------------------------------------------------------------------
Pre-requisites

There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
----------------------------------------------------------------------------
If you are looking for live online training, write back to us at [email protected] or call us at the US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.

🔥Caltech Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=rProgramming23Feb22&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaign=rProgramming23Feb22&utm_medium=DescriptionFirstFold&utm_source=youtube

In this R Programming Full Course In 7 Hours video, we'll learn about What is R, variables, and data types in R. This R Programming for Beginners is the ideal video for anyone starting with R Programming and Data Analysis. We'll Understand Data Handling, Manipulation, and Visualization in R. So, let's get started with this R Tutorial!

Dataset Link - https://drive.google.com/drive..../folders/1Wn2TRSbM2C

This R Programming Full Course Video Covers the following Topics:

What is R Programming
Variables and Data Types in R
Logical Operators
Vectors
List
Matrix
Data Frame
Flow Control
Functions in R
Data Manipulation in R- dplyr
Data Manipulation in R- tidy
Data Visualization In R
Time Series Analysis in R

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#RprogrammingFullCourse #RProgrammingforBeginners #RProgrammingFullTutorial #RTutorial #RTutorialForBeginners #RProgrammingForBeginners #RLanguageTutorial #LearnRProgramming #DataAnalytics #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

👉 Learn More At: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=rProgramming23Feb22&utm_medium=DescriptionFirstFold&utm_source=youtube


🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

In this No Black Box Machine Learning Course in JavaScript, you will gain a deep understanding of machine learning systems by coding without relying on libraries. This unique approach not only demystifies the inner workings of machine learning but also significantly enhances software development skills.

✏️ Course created by @Radu (PhD in Computer Science)

🎥 Watch part two: https://youtu.be/3wwiOSxDAmg

HOMEWORK
🏠 1st assignment spreadsheet: https://docs.google.com/spread....sheets/d/16wIddJ9jKA
🏠 Submit all other assignments to Radu's Discord Server: https://discord.com/invite/gJFcF5XVn9

GITHUB LINKS
💻 Drawing App: https://github.com/gniziemazity/drawing-app
💻 Data: https://github.com/gniziemazity/drawing-data
💻 Custom Chart Component: https://github.com/gniziemazity/javascript_chart
💻 Full Course Code (In Parts): https://github.com/gniziemazity/ml-course

PREREQUISITES
🎥 Interpolation: https://youtu.be/J_puRs40GhM
🎥 Linear Algebra: https://youtu.be/nzyOCd9FcCA
🎥 Trigonometry: https://youtu.be/xK3vKWMFVgw

LINKS
🔗 Check out the Recognizer we'll build in this course: https://radufromfinland.com/projects/ml/recognizer
🔗 Draw for Radu, Call for help video: https://youtu.be/Yw2QZ1vq2ek
🔗 Draw for Radu, Data collection tool: https://radufromfinland.com/projects/ml
🔗 Radu's Self-driving Car Course: https://www.youtube.com/playli....st?list=PLB0Tybl0UNf
🔗 Radu's older Machine Learning video: https://youtu.be/QXB1ytG95gs
🔗 CHART TUTORIAL (mentioned at 01:45:27): https://youtu.be/n8uCt1TSGKE
🔗 CHART CODE: https://github.com/gniziemazity/javascript_chart

TOOLS
🔧 Visual Studio Code: https://code.visualstudio.com/download
🔧 Google Chrome: https://www.google.com/chrome
🔧 Node JS: https://nodejs.org/en/download
(make sure you add 'node' and 'npm' to the PATH environment variables when asked!)


TIMESTAMPS
⌨️(0:00:00) Introduction
⌨️(0:05:04) Drawing App
⌨️(0:46:46) Homework 1
⌨️(0:47:05) Working with Data
⌨️(1:08:54) Data Visualizer
⌨️(1:29:52) Homework 2
⌨️(1:30:05) Feature Extraction
⌨️(1:38:07) Scatter Plot
⌨️(1:46:12) Custom Chart
⌨️(2:01:03) Homework 3
⌨️(2:01:35) Nearest Neighbor Classifier
⌨️(2:43:21) Homework 4 (better box)
⌨️(2:43:53) Data Scaling
⌨️(2:54:45) Homework 5
⌨️(2:55:23) K Nearest Neighbors Classifier
⌨️(3:04:18) Homework 6
⌨️(3:04:49) Model Evaluation
⌨️(3:21:29) Homework 7
⌨️(3:22:01) Decision Boundaries
⌨️(3:39:26) Homework 8
⌨️(3:39:59) Python & SkLearn
⌨️(3:50:35) Homework 9

🔥 Edureka Big Data Courses: https://www.edureka.co/big-data-and-analytics
This Edureka video gives you a brief introduction to Big Data and how it is revolutionizing in various domains. In this quick guide, the following topics will be covered:

1. What Is Big Data?
2. Popular Use case of Big Data
3. Career Prospects in Big Data

----------------------------------------------
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

Edureka Community: https://bit.ly/EdurekaCommunity
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LinkedIn: https://www.linkedin.com/company/edureka
Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN

Become an expert in the exciting new world of Big Data, get trained in cutting edge technologies, and work on real-life industry-grade projects.

----------------------------------------------
Why BIG Data?

The adoption of Big Data is growing across industries, which has resulted in an increased demand for Big Data Engineers. However, the supply is inadequate, leading to a large number of job opportunities. In this environment, professionals with appropriate skills can command higher salaries.

-----------------------------------------------

PG Program in Big Data Engineering

1. Ranked 2nd among NITs by MHRD
2. Recognized as an Institute of National Importance
3. Ranked among the Top 150 universities in Asia by Times Higher Education World University Rankings

-----------------------------------------------

Program Features

1. Mentorship from NITR faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

-----------------------------------------------

Industry Projects

1. Retail: Forecasting Trends and Demand
2. Finance/Banking: Predictive Analytics & Fraud Detection
3. Social Media: Sentiment Analysis

-----------------------------------------------

Mentors & Instructors

Ashok Kumar Turk
Professor | NITR

Bibhudatta Sahoo
Associate Professor | NITR

Korra Sathya Babu
Assistant Professor Grade-I | NITR

--------------------------------------------

Is this program for me?

If you’re passionate about Big Data Engineering and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top for a career in Big Data Engineering.


Is there any eligibility criteria for this program?

A potential candidate must have a Bachelor’s Degree preferably in BCA, MCA, and B.Tech.


Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from NIT Rourkela upon the successful completion of the course.


For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

A quick look at CBOW and how it looks like it in code. I explained how this model works in the previous example so check that out before you look at this one to get a better understanding.

Timestamps:
0:00 - Introduction
0:48 - Imports
0:53 - CBOW model
5:10 - Example of how to train it
8:52 - Ending